哮喘联盟

   摘要
   背景：因为基于网络的戒烟干预项目能有效促进戒烟、大多数吸烟者都能使用、并且具有低成本高效益，所以其公共健康具有一定促进作用。然而，其潜在的影响尚未实现。目前，尚不清楚这种干预项目是如何促进戒烟的、哪些受益最大、以及如何提高这种干预项目对人群的影响。
   目的：通过使用非加权和加权分析方法，在基于网络的戒烟干预项目参与者中评估该措施的影响，研究推动基于网络的戒烟干预项目随时间促进戒烟行为的有效性，寻找最有效的特性，了解哪些吸烟者最有可能受益于这些特性。
   方法：通过自动化研究管理系统，募集1033名参与基于网络的戒烟干预项目新近注册的成人吸烟者。通过在1、3和6个月时进行混合模式随访（在线调查，对无应答者进行电话随访），基于自我主诉来评价戒烟情况。采用软件分析应答者的在线访问频率。通过对加权和非加权数据进行广义估计方程（GEE）分析，研究网站访问的预测因子以及网站访问如何促进戒烟。
   结果：6个月时的7天点戒断率，应答者为20.68%，意向治疗者为11.13%。在非加权分析中，戒烟的预测因子包括网站访问次数和使用特定的交互式/参与式特性。在加权分析中，仅访问次数是戒烟的预测因子。戒烟动机是网站访问的关键预测因子，而同伴的负面支持降低了网站访问或降低了参与互动的可能性。
   结论：积极参与对促进戒烟至关重要。下一代基于网站的戒烟干预项目有必要提高所有新近访问者的参与度，留住愿意在网站注册的吸烟者。
 

（林江涛 审校）
J Med Internet Res. 2013 Jan 28;15(1):e14. doi: 10.2196/jmir.2277.

 

Engagement Promotes Abstinence in a Web-based Cessation Intervention: Cohort Study.
 
Richardson A, Graham AL, Cobb N, Xiao H, Mushro A, Abrams D, Vallone D.

Source
Department of Research and Evaluation, Legacy, Washington, DC, United States. arichardson@legacyforhealth.org.

Abstract 
BACKGROUND: Web-based smoking cessation interventions can have a public health impact because they are both effective in promoting cessation and can reach large numbers of smokers in a cost-efficient manner. Their potential impact, however, has not been realized. It is still unclear how such interventions promote cessation, who benefits most, and how to improve their population impact.
OBJECTIVE: To examine the effectiveness of a highly promoted Web-based smoking cessation intervention to promote quit behavior over time, identify the most effective features, and understand who is most likely to use those features by using unweighted and weighted analyses to estimate the impact in the broader pool of registered site users.
METHODS: A sample of 1033 new adult registrants was recruited from a Web-based smoking cessation intervention by using an automated study management system. Abstinence was assessed by self-report through a mixed-mode follow-up (online survey with telephone follow-up for nonrespondents) at 1, 3, and 6 months. Software tracked respondents' online activity. Generalized estimating equations (GEE) were used to examine predictors of website utilization and how utilization promoted abstinence using unweighted and weighted data.
RESULTS: The 7-day point prevalence abstinence rates at 6 months ranged from 20.68% to 11.13% in the responder and intent-to-treat samples, respectively. Predictors of abstinence in unweighted analyses included number of visits to the website as well as accessing specific interactive or engaging features. In weighted analyses, only number of visits was predictive of abstinence. Motivation to quit was a key predictor of website utilization, whereas negative partner support decreased the likelihood of increasing visits or accessing engaging features.
CONCLUSIONS: Engagement is critical to promoting smoking cessation. The next generation of Web-based smoking cessation interventions needs to maximize the initial engagement of all new visitors and work to retain those smokers who proceed to register on the site.

J Med Internet Res. 2013 Jan 28;15(1):e14. doi: 10.2196/jmir.2277.